M.S. Pinsker

26 papers receiving 394 citations

Peers

M.S. Pinsker
Comparison fields: 5 of 64
  • Statistics and Probability 68
  • Statistical and Nonlinear Physics 73
  • Computational Theory and Mathematics 67
  • Applied Mathematics 42
  • Artificial Intelligence 128
Replace Sueli I. R. Costa with:
Sueli I. R. Costa Brazil
František Matúš Czechia
Brockway McMillan
Henry J. Ricardo
J. Kahn United States
Neil J. Calkin United States
Czesław Byliński Germany
J. Spencer United States
Daniel J. Velleman United States
David P. Robbins United States
M.S. Pinsker relative to Sueli I. R. Costa Brazil Sueli I. R. Costa's profile →
Citations per field
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Sueli I. R. Costa · 1×
Citations per year

Countries citing papers authored by M.S. Pinsker

Since Specialization
Citations

This map shows the geographic impact of M.S. Pinsker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M.S. Pinsker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.S. Pinsker more than expected).

Fields of papers citing papers by M.S. Pinsker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.S. Pinsker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M.S. Pinsker. The network helps show where M.S. Pinsker may publish in the future.

Co-authors

The 15 scholars most cited alongside M.S. Pinsker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.S. Pinsker Line = papers co-authored together M.S. Pinsker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964276
2 199541
3
SHARP-OPTIMAL AND ADAPTIVE ESTIMATION FOR HETEROSCEDASTIC NONPARAMETRIC REGRESSION
199630
4 198124
5 200514
6 199310
7 19918
8 19956
9 20046
10 20025
11 20025
12
On the Hamming bound for nonbinary localized-error-correcting codes
19993
13 20023
14
Binary constant-weight codes correcting localized errors and defects
19942
15
Asymptotically optimal binary codes of polynomial complexity correcting localized errors
19952
16 19632
17
Coding for channels with partially localized errors
19902
18 19972
19 20092
20
Certain mathematical problems in the theory of transmission of information.
19661

About M.S. Pinsker

M.S. Pinsker is a scholar working on Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 29 papers that have together received 452 indexed citations. Recurring topics across this work include Cellular Automata and Applications (6 papers), DNA and Biological Computing (6 papers), Coding theory and cryptography (5 papers), Wireless Communication Security Techniques (4 papers), advanced mathematical theories (3 papers), Mathematical Dynamics and Fractals (3 papers), Mathematical Approximation and Integration (2 papers) and Cooperative Communication and Network Coding (2 papers). The work is most often cited by research in Statistics and Probability (68 citations), Statistical and Nonlinear Physics (73 citations), Computational Theory and Mathematics (67 citations), Applied Mathematics (42 citations) and Artificial Intelligence (128 citations). M.S. Pinsker has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Amiel Feinstein, David R. Brillinger, V. V. Prelov, Sergio Verdú, Sam Efromovich, Rudolf Ahlswede, Ilya Dumer, Edward C. van der Meulen, Decision Systems. and R. L. Dobrushin. Their work appears in journals such as IEEE Transactions on Information Theory, Problems of Information Transmission, Journal of Marketing Research, Journal of American History and Kybernetika.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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